Gender: Male 
Age: 25-34
Nationality: Canada
Ethnicity: Asian / Pacific Islander 
Marital status: Married 
First language: English 
Religion: Nothing 
Education: Undergraduate degree
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 4
Home: Rent 
Employment: Employed part time
Occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Mother's occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Father's occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Hobbies: Exercise 
Devices used daily: Laptop;Smartphone;Tablet 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text) 
Frequency of LLM use: Rarely
LLMs used: ChatGPT 
LLM use cases: Writing (e.g., composing emails);Proofreading/Editing (e.g., grammar, spelling, structure improvements);Analyze data 
Contexts of LLM use: Work;School/University 
Prompt 1: Please rewrite this email in a professional way
Prompt 2: Please transcribe the text in this PDF
Prompt 3: Please point out the grammatical errors in this and explain the errors
Prompt 4: Please tailor my cover letter to match the job description that I will provide you
Prompt 5: Please rewrite as this is for an application and keep it under 500 words
Prompt 6: Please shorten and rewrite to be concise
Prompt 7: Can you please reformat my resume so it fits the job description
Prompt 8: What does fort erie bound mean in relation to the qew?
Prompt 9: Please evaluate the following text and rank the quality of the argumentation and adherence to the IRAC method on the following ranks: 1) good 2) rather good 3) medium 4) rather weak 5) weak and explain your answer
Prompt 10: Please solve this problem and explain how you arrived at your answer